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  • 标题:Kolmogorov Complexity, Circuits, and the Strength of Formal Theories of Arithmetic
  • 本地全文:下载
  • 作者:Eric Allender ; George Davie ; Luke Friedman
  • 期刊名称:Electronic Colloquium on Computational Complexity
  • 印刷版ISSN:1433-8092
  • 出版年度:2012
  • 卷号:2012
  • 出版社:Universität Trier, Lehrstuhl für Theoretische Computer-Forschung
  • 摘要:Can complexity classes be characterized in terms of efficient reducibility to the (undecidable) set of Kolmogorov-random strings? Although this might seem improbable, a series of papers has recently provided evidence that this may be the case. In particular, it is known that there is a class of problems C defined in terms of polynomial-time truth-table reducibility to RK (the set of Kolmogorov-random strings) that lies between BPP and PSPACE. In this paper, we investigate improving this upper bound from PSPACE to (PSPACE P/poly). More precisely, we present a collection of true statements in the language of arithmetic, (each provable in ZF) and show that if these statements can be proved in certain extensions of Peano arithmetic, then BPP C PSPACE P/poly. We conjecture that C is equal to P, and discuss the possibility this might be an avenue for trying to prove the equality of BPP and P.
  • 关键词:BPP, Kolmogorov complexity, P/poly
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